analyse_var: Analyse variable by AB test group

In eliobartos/misc: Miscellaneous functions

Description

If you have 2 columns, one representing variable of interest, and another group for that observation, this function analyses distribution of variable in each group in a way that is easy to compare. It calculates mean and confidence intervals, quantiles and density plots.

Usage

analyse_var(
  df,
  var_chr,
  group_variable = "ab_test_group",
  quant_focus = "mid",
  confidence_interval = 0.9
)

Arguments

df	Data frame with both variables of interest.
var_chr	(character) Column name of variable you want to be analysed as string.
group_variable	Variable to group by.
quant_focus	("up", "mid", "down") Controls on which quantiles to focus more. "up" focuses more on median and upper quantiles, "down" is the opposite and "mid" is balanced.
confidence_interval	Probability of confidence interval range.

Value

list of two tibbles:

quant_data	Contains quantiles.
mean_data	Contains means, standard errors and confidence interval bounds.

Author(s)

Elio Bartoš

Examples

#library(tidyverse) #For tribble and pipe %>% notation
library(tibble) #For tribble
library(magrittr) # For pipe %>%

df <- tribble(
  ~x, ~group,
  1, 1,
  3.2, 1,
  2.4, 1,
  3.1, 1,
  5, 2,
  6, 2,
  4.7, 2
)

df %>%
  analyse_var("x", "group")

eliobartos/misc documentation built on Oct. 8, 2021, 1:10 a.m.